A Data Engineering deep dive with several data warehouses using real data sourced from Kaggle
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Updated
Jan 12, 2025 - Python
A Data Engineering deep dive with several data warehouses using real data sourced from Kaggle
GitHub repository showcasing strategies to optimize Google BigQuery (GBQ) costs when dealing with raw data dumps.
Code Repository
Digital User Churn Dashboard RakaminxBankMuamalat
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Statistical analysis and visualization of A/B test results to evaluate key metrics. Data aggregated via SQL in BigQuery, significance tested in Python, results shown in an interactive Tableau dashboard.
SQL case studies and exercises from my studies at Mate Academy. This repository contains queries for data analysis, transformations, and optimization, covering topics like joins, window functions, and aggregate queries. A learning journey in SQL for data analytics.
Google Data Analytics Capstone Project
Apache Airflow powered ETL Pipeline for moving about 133k images from Kaggle to GCS and BigQuery
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